Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way

Simple item page
dc.cclicenceCC-BY-NCen
dc.contributor.authorHerrera-Viedma, Enrique
dc.contributor.authorPalomares, Ivan
dc.contributor.authorLi, Cong-Cong
dc.contributor.authorCabrerizo, Francisco Javier
dc.contributor.authorDong, Yucheng
dc.contributor.authorChiclana, Francisco
dc.contributor.authorHerrera, Francisco
dc.date.acceptance2020-12-01
dc.date.accessioned2021-01-25T16:09:22Z
dc.date.available2021-01-25T16:09:22Z
dc.date.issued2020-12-24
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractThis paper provides a brief tour through the main fuzzy and linguistic decision-making trends, studies, methodologies and models developed in the last 50 years. Fuzzy and linguistic decision-making approaches allow to address complex real-world decision problems where humans exhibit vagueness, imprecision and/or use natural language to assess decision alternatives, criteria, etc. The aim of this paper is threefold. Firstly, the main fuzzy set theory and computing with words based representation paradigms of decision information, with their different levels of expressive richness and complexity, are reviewed. Secondly, three core decision-making frameworks are examined: (1) multi-criteria decision-making, (2) group consensus-driven decision-making, and (3) multi-person multi-criteria decision making. Thirdly, the paper discusses new complex decision making frameworks that have emerged in recent years, where decisions are guided by the “wisdom of the crowd”: their associated challenges are highlighted and considerations on much needed key guidelines for future research in the field are provided.en
dc.funderOther external funder (please detail below)en
dc.funder.otherThe authors would like to thank the support provided by the Spanish State Research Agency through the projects PID2019- 103880RB-I00 / AEI / 10.13039/501100011033 and TIN2016- 75850-R, the NSF of China through the project 71901182, and the China Postdoctoral Science Foundation through the project 2020M673283.en
dc.identifier.citationHerrera-Viedma, E., Palomares, I., Li, C-C., Cabrerizo, F.J., Dong, Y., Chiclana, F. and Herrera, F. (2020) Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way. IEEE Transactions on Systems, Man and Cybernetics: Systems. 51 (1), pp. 191-208en
dc.identifier.doihttps://doi.org/10.1109/TSMC.2020.3043016
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20596
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidThe authors would like to thank the support provided by the Spanish State Research Agency through the projects PID2019- 103880RB-I00 / AEI / 10.13039/501100011033 and TIN2016- 75850-R, the NSF of China through the project 71901182, and the China Postdoctoral Science Foundation through the project 2020M673283.en
dc.publisherIEEEen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.titleRevisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Wayen
dc.typeArticleen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
FuzzyDM__50_Anniversary_paper.pdf
Size:
15.27 MB
Format:
Adobe Portable Document Format
Description:
Author's copy of accepted paper
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.2 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

School of Computer Science and Informatics